Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future

doi:10.1016/j.earscirev.2021.103673

	Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future
	Li, Zhao-Liang 1,2; Leng, Pei 1; Zhou, Chenghu 2; Chen, Kun-Shan 3; Zhou, Fang-Cheng 4; Shang, Guo-Fei 5
刊名	EARTH-SCIENCE REVIEWS
	2021-07-01
卷号	218 页码:24
关键词	Soil moisture Remote sensing Optical thermal Microwave Retrieval methods
ISSN号	0012-8252
DOI	10.1016/j.earscirev.2021.103673
通讯作者	Leng, Pei(lengpei@caas.cn)
英文摘要	Soil moisture (SM) is an essential parameter for understanding the interactions and feedbacks between the atmosphere and the Earth's surface through energy and water cycles. Knowledge of the spatiotemporal distribution of land surface SM has long been a challenge in the remote sensing community. Over the past 50 years, electromagnetic spectra, from the optical/thermal to the microwave regions, have been intensively investigated for SM retrieval, providing a number of algorithms, models and products that are available for actual applications nowadays. However, certain issues with respect to retrieval accuracy, spatiotemporal resolution, and data consistency exist and remain unsolved between the state-of-the-art of SM retrieval and readily-used SM datasets for various domains at field, regional/watershed or global scales. In particular, several new theories and algorithms for SM retrieval proposed in recent years have not been well documented in previous articles. Therefore, a critical review of the established and emerging SM retrieval methods with respect to their advantages and disadvantages is necessary. In present study, future directions for each method are highlighted to address the scientific challenges of SM retrieval in the new era of rapid data expansion.
资助项目	National Natural Science Foundation of China[41921001] ; National Natural Science Foundation of China[41421001] ; National Natural Science Foundation of China[41601397] ; Second Tibetan Plateau Scientific Expedition and Research (STEP) program[2019QZKK0304]
WOS关键词	VEGETATION OPTICAL DEPTH ; L-BAND RADIOMETER ; MICROWAVE DIELECTRIC BEHAVIOR ; THERMAL INERTIA ; WATER-CONTENT ; BRIGHTNESS TEMPERATURE ; AMSR-E ; SPECTRAL REFLECTANCE ; SURFACE-TEMPERATURE ; TRIANGLE METHOD
WOS研究方向	Geology
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000670204100001
资助机构	National Natural Science Foundation of China ; Second Tibetan Plateau Scientific Expedition and Research (STEP) program
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/163815]
专题	中国科学院地理科学与资源研究所
通讯作者	Leng, Pei
作者单位	1.Chinese Acad Agr Sci, Minist Agr & Rural Affairs, Key Lab Agr Remote Sensing, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Guilin Univ Technol, Coll Geomat & Geoinformat, Guilin 530001, Peoples R China 4.Natl Satellite Meteorol Ctr, Beijing 100081, Peoples R China 5.Hebei GEO Univ, Sch Land Sci & Space Planning, Shijiazhuang 050031, Hebei, Peoples R China
推荐引用方式 GB/T 7714	Li, Zhao-Liang,Leng, Pei,Zhou, Chenghu,et al. Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future[J]. EARTH-SCIENCE REVIEWS,2021,218:24.
APA	Li, Zhao-Liang,Leng, Pei,Zhou, Chenghu,Chen, Kun-Shan,Zhou, Fang-Cheng,&Shang, Guo-Fei.(2021).Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future.EARTH-SCIENCE REVIEWS,218,24.
MLA	Li, Zhao-Liang,et al."Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future".EARTH-SCIENCE REVIEWS 218(2021):24.